Personalized Online Catalog Generation via Dynamic Item Relations
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Solution Overview
Problem
Conventional online shopping systems are cumbersome for users, requiring multiple steps to find and purchase items, with outdated information and lack of association between related items, leading to inefficient shopping experiences.
Innovation Solution
An online merchandising system that generates personalized electronic catalogs for users based on their purchase history, owned items, and item relationships, allowing users to create customizable catalogs and compare prices, enabling seamless browsing and purchasing of associated items.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If item information is downloaded and stored on the user terminal beforehand, then the user can view item information without establishing connection to the online shopping site, but the usability is still unsatisfied and the information cannot be updated
Solution Approach 1:
The patent introduces a server as an intermediary between the user terminal and the item information database. The server actively manages the catalog by updating item information and pushing changes to the user terminal, rather than relying on passive local storage. This mediator ensures that users always access the latest information while maintaining offline viewing capability.
Solution Approach 2:
The system implements a feedback mechanism where the server continuously monitors item information changes and automatically updates the user terminal's catalog. When item information is modified on the server side, the system detects this change and pushes the updated information to the user terminal, ensuring real-time synchronization without requiring manual user action.
2Loss of information
If information represents only items to be bought, then the user can view item information, but the information lacks in showing relationship between the items concerned and others being associated to them
Solution Approach 1:
The patent segments the catalog into multiple functional categories: items the user has purchased, items the user owns, and items associated with purchased/owned items. This segmentation allows the system to present relevant information in an organized manner, showing relationships between items without overwhelming the user with unnecessary data.
Solution Approach 2:
The system automatically identifies and pre-loads associated items based on the user's purchase history and owned items. When a user views an item, the system proactively retrieves and displays related items that are likely to be of interest, such as complementary products or items frequently purchased together, without requiring the user to manually search.
3Adaptability or versatility
If the user must go through several steps to find and purchase items, then the online shopping service can handle various items, but the users experience troublesome steps with extra connection time
Solution Approach 1:
The patent makes the catalog dynamic and adaptive to each user's preferences and history. The system automatically customizes the catalog content based on the user's purchase history, owned items, and viewing behavior, presenting items in a personalized order that reduces the steps needed to find what the user wants while maintaining access to diverse product categories.
Data Source
AI summary
The shopping server provides an online shopping service with retrieving information of items handled, relations among the items, user's purchase history, user's request, and the like via the internet or the intrafirm network. The shopping server generates electronic catalogs personalized for each user based on the retrieved information so as to show useful and helpful information to each user. The catalogs are categorized in accordance with the purposes. Some of the categories are fulfilled by the automatic entry in accordance with the item relations or the user's purchase through the online shopping service, while the others are fulfilled by the user's arbitrary designation. The shopping server presents the generated catalogs to the users via the internet, so that the categories are switchable and customizable by the user.